This paper proposes a geomagnetic map based localization method for indoor robot system. Geomagnetic field is distorted by reinforced concreate or metal objects in indoor environment. The distortion provides a unique feature that can be utilized in lo...
This paper proposes a geomagnetic map based localization method for indoor robot system. Geomagnetic field is distorted by reinforced concreate or metal objects in indoor environment. The distortion provides a unique feature that can be utilized in localization. The measured magnetic data set is translated and encoded into unique posture data set in the magnetic map. An Extended Kalman Filter embedded motion prediction model for mobile robot is combined with the generated world map to solve SLAM problem. An experiment has been carried out to test the proposed approach.